Problem solving by heterogeneous agents
成果类型：
Article
署名作者：
Hong, L; Page, SE
署名单位：
Loyola University Chicago; University of Michigan System; University of Michigan
刊物名称：
JOURNAL OF ECONOMIC THEORY
ISSN/ISSBN：
0022-0531
DOI：
10.1006/jeth.2000.2709
发表日期：
2001
页码：
123-163
关键词：
摘要：
A substantial amount of economic activity involves problem solving, yet economies has few, if any, formal models to address how agents of limited abilities Find good solutions to difficult problems. In this paper. we construct a model ol heterogeneous agents of bounded abilities and analyze their individual and collective performance. By heterogeneity, we mean differences in how individuals repre sent problems internally. their perspectives, and in the algorithms they use to generate solutions, their heuristics. We find that while a collection of bounded but diverse agents can locate optimal solutions to difficult problems. problem solving firms can exhibit arbitrary marginal returns to problem solvers and that the order that problem solvers are applied to a problem can matter, so that the standard story of decreasing returns to scale may not apply to problem solving firms. (C) 2001 Academic Press.